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DefinitionDefinition: Literature-sourcedProof: AI-adaptedPipeline-generated
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Finite circuit resource accounting

Definition

Fix a finite gate alphabet G with maximum arity k:=max⁡({r(g):g∈G}∪{0}) and a circuit from Finite circuit syntax and ordered wire labels. The declared size is the number of gate occurrences, equivalently ∑t=1d∣Lt∣; the declared depth is the number d of explicit layers, not a minimum over alternate layerings; the width is the number n of all wires, including workspace wires. The operation model may also assign weighted gate costs, classical bit costs, and query costs; these are separate coordinates and are summed over the calls actually made.

A workspace wire is an ancilla. A clean-ancilla promise specifies computational-basis zero states for the ancillas and requires their exact return for every allowed data input: if U is the implemented unitary, VD is the declared data unitary, and ∣0A⟩ is the specified joint zero vector, then U(x⊗∣0A⟩)=VDx⊗∣0A⟩ for every allowed data vector x. A dirty-ancilla promise permits an arbitrary ancilla state independent of the data input; it may be correlated with an untouched reference. Exact dirty-ancilla restoration means the implemented unitary on data and ancillas is VD⊗IA on the entire joint space, where VD is the declared unitary on data. The same operator equality then holds after tensoring with the identity on any finite untouched reference. Consequently, product input between the data and the combined ancilla/reference system remains product after the operation. No uncorrelated-output claim is made for an initially data-correlated ancilla.

A controlled or inverse operation is counted only when the operation model explicitly grants that access or supplies a construction; its charge is recorded separately from an ordinary call. Inverse availability and query or gate charges are also recorded separately from controlled forward access. In particular, the matrix of U alone supplies neither a controlled call nor an inverse query, in accordance with Controlled Unitary Access and Inverse Unitary Access.

Facts & Assumptions

Given: A finite layered circuit, its declared gate alphabet, workspace labels, and operation-cost model.

[F1]

Finite circuit syntax and ordered wire labels: a circuit is a finite ordered list of explicit layers, each a finite list of gate occurrences.

[F2]

Controlled Unitary Access: controlled access is an explicitly granted capability.

[F3]

Inverse Unitary Access: inverse access is explicitly granted and charged separately from forward access.

Proof

1.1givenF1algebra

Flattening the layer lists gives a finite list containing each gate occurrence exactly once by the circuit syntax. Its length is ∑t∣Lt∣, so the size definition counts exactly the occurrences in the circuit.

2.1step 1.1F1algebra

Reordering gates within a disjoint layer changes neither that layer's finite cardinality nor the sum of the layer cardinalities. Thus the declared size is unchanged by within-layer ordering; the separately declared depth remains the number of layers.

3.1givenF2F3∎

The access coordinates are assigned only to calls named by the operation model. By [F2]–[F3], controlled and inverse calls require their own explicit declarations, so no query or gate cost is inferred from a matrix description alone.

Depends on

Used by

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Dependency tree · two levels

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Sources